Online PPO-based Multi-hop Task Offloading Strategy for Vehicular Edge Computing

Authors

• Wenzhu Zhang, College of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
• Yuewei Bian, College of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
• Fuli Xiong, College of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
• Siqi Cai, College of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China

Abstract

Abstract: To address the problems of frequent communication link interruptions caused by dynamic network topologies and the sharp increase in computational complexity triggered by high-dimensional decision spaces in the vehicular edge computing (VEC) environment, a multi-hop task offloading strategy for VEC based on an online PPO algorithm was proposed. A multi-hop task offloading optimization model simultaneously considering link effective time, transmission rate, and computing resource constraints was constructed; a multi-hop A* path search algorithm integrating link stability and end-to-end delay was designed; an online offloading decision framework based on PPO was proposed, which transformed the 0-1 mixed integer nonlinear programming problem into a Markov process and provided complexity and convergence analyses. Simulation results indicate that the strategy significantly outperforms the Greedy-MinDelay, DQN, and A3C benchmark algorithms in latency-energy balance and task completion rate, effectively improving the real-time performance and robustness of the system in highly dynamic vehicular scenarios.

Recommended Citation

Zhang, Wenzhu; Bian, Yuewei; Xiong, Fuli; and Cai, Siqi (2026) "Online PPO-based Multi-hop Task Offloading Strategy for Vehicular Edge Computing," Journal of System Simulation: Vol. 38: Iss. 7, Article 8.
DOI: 10.16182/j.issn1004731x.joss.25-0752
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss7/8

First Page

1901

Last Page

1921

CLC

TP391

Recommended Citation

Zhang Wenzhu, Bian Yuewei, Xiong Fuli, et al. Online PPO-based Multi-hop Task Offloading Strategy for Vehicular Edge Computing[J]. Journal of System Simulation, 2026, 38(7): 1901-1921.

Corresponding Author

Bian Yuewei

DOI

10.16182/j.issn1004731x.joss.25-0752